class_docstr: Mean average precision metric for PASCAL V0C 07 dataset
  
  Parameters:
  ---------
  iou_thresh : float
      IOU overlap threshold for TP
  class_names : list of str
      optional, if provided, will print out AP for each class
class_docstr_tok: ["Mean","average","precision","metric","for","PASCAL","V0C","07","dataset","Parameters",":","--","--","--","--","-","iou_thresh",":","float","IOU","overlap","threshold","for","TP","class_names",":","list","of","str","optional",",","if","provided",",","will","print","out","AP","for","each","class"]
code: def __init__(self, *args, **kwargs):
      super(VOC07MApMetric, self).__init__(*args, **kwargs)
  
file_path: gluon-cv/gluoncv/utils/metrics/voc_detection.py
imports: from __future__ import division
  from collections import defaultdict
  import numpy
  import mxnet
  from ..bbox import bbox_iou
label_desc: Use image node_id 1 to create a new VOC07MApMetric object from inherited base classes: VOCMApMetric with example: obj = VOC07MApMetric()